ABSTRACT
Objective: To develop a predictive model for successfully inducing active labor by using a combination of cervical status and maternal and fetal characteristics. Study design: A retrospective cohort study was conducted among pregnant women who underwent labor induction between January 2015 and December 2019. Successfully inducing active labor was defined as achieving a cervical dilation > 4 cm within 10 h after adequate uterine contractions. The medical data were extracted from the hospital database; statistical analyses were performed using a logistic regression model to identify the predictors associated with the successful induction of labor. The receiver operating characteristic (ROC) curve and area under the curve (AUC) were used to assess the accuracy of the model. Results: In total, 1448 pregnant women were enrolled; 960 (66.3 %) achieved successful induction of active labor. Multivariate analysis revealed that maternal age, parity, body mass index, oligohydramnios, premature rupture of membranes, fetal sex, dilation, station, and consistency were significant factors associated with successful labor induction. The ROC curve of the logistic regression model had an AUC of 0.7736. For the validated score system to predict the probability of success, we found that a total score > 60 has a 73.0 % (95 % CI 59.0-83.5) probability of successful induction of labor into the active phase stage within 10 h. Conclusions: The predictive model for successfully achieving active labor using the combination of cervical status and maternal and fetal characteristics had good predictive ability.
ABSTRACT
INTRODUCTION: A few studies have explored the association of resting heart rate (RHR) with mortality and/or other oncological outcomes in patients with specific cancers such as breast, colorectal, and lung cancer. This study aimed to evaluate the association between the RHR and oncological outcomes in patients with early-stage cervical cancer (CC) who underwent radical surgical resection. METHODS: We included 622 patients with early-stage CC (stages IA2-IB1). The patients were divided into four groups based on the RHR as follows: quartile 1, ≤64; quartile 2, 65-70; quartile 3, 71-76; and quartile 4, >76 beats per min (bpm), with the lowest quartile being the reference group. We evaluated the associations of the RHR and clinicopathological features with oncological outcomes using Cox proportional-hazards regression. RESULTS: There were clear among-group differences. Further, there was a significant positive correlation of RHR with tumor size and deep stromal invasion. Multivariate analysis revealed that RHR was an independent prognostic factor for disease-free survival (DFS) and overall survival (OS). Compared with patients with an RHR ≤70 bpm, those with an RHR of 71-76 bpm had a 1.84- and 3.05-times higher likelihood of DFS (p = 0.016) and OS (p = 0.030), respectively, while those with RHR >76 bpm had a 2.20-times higher likelihood of DFS (p = 0.016). CONCLUSION: This is the first study to demonstrate that RHR may be an independent prognostic factor for oncological outcomes in patients with CC.
